Advances of Soft Computing in Engineering

4.11 - 1251 ratings - Source

The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures.An example of a search space space and find the highest peak, although
sometimes it may be desirable to find all the peaks over a given ... For example,
Matlab has an extension which allows the easy development of a genetic
algorithm.

Title

:

Advances of Soft Computing in Engineering

Author

:

Zenon Waszczyszyn

Publisher

:

Springer Science & Business Media - 2010-01-01

ISBN-13

:

You must register with us as either a Registered User before you can Download this Book. You'll be greeted by a simple sign-up page.

Once you have finished the sign-up process, you will be redirected to your download Book page.